Research On Cross-layer Protocol Optimization Of Wireless Rechargeable Sensor Network Based On SIC

With the rapid development of the information and network technology,Wireless sensor networks(WSNs)have become the frontier of the scientific research topics due to its widely usage in the field of smart home automation,health and environmental monitoring,as well as precision agriculture and so on.It is also the backbone of emerging technologies such as the Cyber-physical System and Internet of things.It is a challenge to charge the network when the network scale reaches a certain extent.Because nodes are limited in resources and energy,communication is limited in spectrum.Besides,as the scale of the network expands continuously,the frequent interference of nodes also leads to the reduction of communication quality.Therefore,the sensor node must be charged,otherwise their life cycle is restricted.The data they produce must be collected periodically by mobile devices,otherwise the network cannot ensure the quality of the service(QoS).Sensor nodes must work via a suitable scheduling strategy or their communication rate and power utilization will be harmed.This is the key to designing a proper data transmission protocol in this paper.It is significant to design a reliable node cross-layer duty scheduling policy from the view of limited energy source and energy conservation strategy.In this thesis,we design a cross-layer work scheduling policy based on SIC by choosing some network models to establish wireless charging and energy efficient data collection schemes based on the design of wireless network architecture,i.e,a combing structure design of node and network architecture.Then through the combined protocol stack layers of physical,data link and network,the energy efficiency and other criteria are improved.Appropriate communication mechanism on account of the limited wireless network resources are also studied in this paper.Optimization problems on account of multilayer influence factors are solved in this article.The model of energy optimization is established,the effect of the protocol is simulated and analyzed.What is more,the evaluation system is constructed to evaluate the quality of the protocol.